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AI Agent Mastermind: Put Claude, Hermes, Gemini & More in One Room to Build for You
The script introduces the “AI Agent Mastermind,” an Agent OS system that runs multiple AI models (including Claude, Hermes, Gemini, Codex, OpenClaude, and Free Claude Code) in a shared group-chat where they read a user’s Obsidian “memory vault,” respond in turn, critique each other’s work, and save notes or start projects automatically. It demonstrates using the room to generate SEO keyword research and a content outline, then pushing ideas into an “idea factory”/pipeline for human approval before agents implement the plan, including building full websites and saving outputs to a gallery for easy management. The creator contrasts this with the old workflow of separate tabs and repeated context, discusses customization via specialized agent skills, local model support, multilingual outputs, token-cost options, and promotes access to the system, tutorials, and coaching via the AI Profit Ballroom.
00:00 Why One AI Fails
00:56 Agent Mastermind Overview
01:36 Live Keyword Demo
02:16 Obsidian Memory Vault
03:29 Idea Factory Pipeline
04:35 Approve And Build
06:38 Gallery And Organization
07:57 Agent OS Q And A
10:09 Skills And Implement Mode
10:50 Old Way Vs New Way
15:56 Objections And Costs
17:17 Get Agent OS Access
19:06 Odysseus Comparison
19:40 Final Wrap Up
The script introduces the “AI Agent Mastermind,” an Agent OS system that runs multiple AI models (including Claude, Hermes, Gemini, Codex, OpenClaude, and Free Claude Code) in a shared group-chat where they read a user’s Obsidian “memory vault,” respond in turn, critique each other’s work, and save notes or start projects automatically. It demonstrates using the room to generate SEO keyword research and a content outline, then pushing ideas into an “idea factory”/pipeline for human approval before agents implement the plan, including building full websites and saving outputs to a gallery for easy management. The creator contrasts this with the old workflow of separate tabs and repeated context, discusses customization via specialized agent skills, local model support, multilingual outputs, token-cost options, and promotes access to the system, tutorials, and coaching via the AI Profit Ballroom.
00:00 Why One AI Fails
00:56 Agent Mastermind Overview
01:36 Live Keyword Demo
02:16 Obsidian Memory Vault
03:29 Idea Factory Pipeline
04:35 Approve And Build
06:38 Gallery And Organization
07:57 Agent OS Q And A
10:09 Skills And Implement Mode
10:50 Old Way Vs New Way
15:56 Objections And Costs
17:17 Get Agent OS Access
19:06 Odysseus Comparison
19:40 Final Wrap Up
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